Fairly timing research code can be difficult due to differences in libraries used, hardware configurations and programmer skill.
In Table REF , we report approximate total training time and inference time across TSP sizes for the model setup described in Section REF .
All experiments were implemented in PyTorch [1]} and run on an Intel Xeon CPU E5-2690 v4 server and four Nvidia 1080Ti GPUs.
Four experiments were run on the server at any given time (each using a single GPU).
Training time may vary based on server load, thus we report the lowest training time across several runs in Table REF .
